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Stochastic scenario-based model and investigating size of energy storages for PEM-fuel cell unit commitment of micro-grid considering profitable strategies
Stochastic scenario-based model and investigating size of energy storages for PEM-fuel cell unit commitment of micro-grid considering profitable strategies
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Stochastic scenario-based model and investigating size of energy storages for PEM-fuel cell unit commitment of micro-grid considering profitable strategies
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Stochastic scenario-based model and investigating size of energy storages for PEM-fuel cell unit commitment of micro-grid considering profitable strategies
Stochastic scenario-based model and investigating size of energy storages for PEM-fuel cell unit commitment of micro-grid considering profitable strategies
Journal Article

Stochastic scenario-based model and investigating size of energy storages for PEM-fuel cell unit commitment of micro-grid considering profitable strategies

2014
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Overview
This paper presents a unit commitment formulation for micro-grid that includes a significant number of grid parallel Proton Exchange Membrane-Fuel Cell Power Plants (PEM-FCPPs) with ramping rate and minimum up/down time constraints. The aim of this problem is to determine the optimum size of energy storage like battery storages and use the efficient hydrogen and thermal energy storages and to schedule the committed units' output power while satisfying practical constraints and electrical/thermal load demand over one day with 15 min time step. In order to best use of multiple PEM-FCPPs, hydrogen storage management is carried out. Also, since the electrical and heat load demand are not synchronised, it could be useful to store the extra heat of PEM-FCPPs in the peak electrical load in order to satisfy delayed heat demands. Due to uncertainty nature of electrical/thermal load, photovoltaic and wind turbine output power and market price, a two-stage scenario-based stochastic programming model, where the first stage prescribes the here-and-now variables and the second stage determines the optima value of wait-and-see variables under cost minimization is implemented. For solving the problem, a new enhanced cuckoo optimisation algorithm is presented and successfully applied to two typical micro-grids. Quantitative results show its usefulness.
Publisher
The Institution of Engineering and Technology,Institution of Engineering and Technology,The Institution of Engineering & Technology
Subject

Algorithms

/ Applied sciences

/ battery storage

/ battery storage plants

/ cost minimisation

/ cost reduction

/ Demand

/ Direct energy conversion and energy accumulation

/ distributed power generation

/ Electric power generation

/ Electrical engineering. Electrical power engineering

/ Electrical power engineering

/ electrical‐thermal load demand

/ Electrochemical conversion: primary and secondary batteries, fuel cells

/ Energy

/ Energy accumulation

/ Energy storage

/ energy storage device

/ Energy. Thermal use of fuels

/ enhanced cuckoo optimisation algorithm

/ Equipments for energy generation and conversion: thermal, electrical, mechanical energy, etc

/ Exact sciences and technology

/ fuel cell power plants

/ Fuel cells

/ grid parallel PEM‐fuel cell power plant

/ heat load demand

/ here‐and‐now variable

/ hydrogen energy storage management

/ Hydrogen storage

/ market price

/ Mathematical models

/ microgrid

/ minimisation

/ Operation. Load control. Reliability

/ Optimization

/ PEM‐FCPP

/ PEM‐fuel cell unit commitment formulation

/ photovoltaic output power

/ photovoltaic power systems

/ power distribution economics

/ power generation dispatch

/ power generation economics

/ power generation scheduling

/ power grids

/ power markets

/ Power networks and lines

/ power system management

/ pricing

/ profitability

/ profitable strategy

/ proton exchange membrane fuel cells

/ stochastic programming

/ Stochasticity

/ Thermal analysis

/ thermal energy storage

/ time 15 min

/ two‐stage scenario‐based stochastic programming model

/ Unit commitment

/ wait‐and‐see variable

/ wind turbine output power

/ wind turbines